Can NVIDIA GeForce RTX 3080 10GB run Mistral 7B?
7B parameter LLM model on 10GB GDDR6X
VRAM Requirements
Mistral 7B is a 7B parameter model. At full precision (FP16), it requires 14GB of VRAM. Your NVIDIA GeForce RTX 3080 10GB has 10GB, so you'll need to quantize it to 8-bit (Q8) to fit.
Maximum quality, no quantization
Near-lossless, ~50% size reduction
Good quality, ~75% size reduction
Recommended system RAM: 32GB DDR5 (2x GPU VRAM minimum for model overflow)
What This Means in Practice
Running Mistral 7B at 8-bit quantization on NVIDIA GeForce RTX 3080 10GB gives you virtually identical quality to full precision while using roughly half the VRAM. Most users cannot distinguish Q8 output from FP16. This is the recommended precision for daily use — it's the best balance of quality and resource usage.
How to Set It Up
Step 1: Install Ollama
curl -fsSL https://ollama.com/install.sh | shOllama is the easiest way to run local LLMs. Works on Linux, macOS, and Windows.
Step 2: Download and run Mistral 7B
ollama run mistral:7bThis downloads the model (~7GB). First run takes a few minutes.
Step 3: Verify GPU is being used
nvidia-smiCheck that VRAM usage increases when the model loads. You should see ~7GB used.
NVIDIA GeForce RTX 3080 10GB Specs
Other GPUs That Run Mistral 7B
Other LLM Models on NVIDIA GeForce RTX 3080 10GB
About Mistral 7B
Fast and efficient. Runs on virtually any modern GPU.